Python Foundations
Core Python: data structures, functions, OOP, data science libraries
Data Types, Variables & Keywords
beginner~18minint, float, str, bool, None — Python type system
Lists, Tuples, Sets & Dictionaries
beginner~18minCore Python data structures with operations and time complexity
Loops & Iterations
beginner~18minfor loops, while loops, list comprehensions, generators
Functions: Regular, Lambda, Map/Filter/Reduce
beginner~18minFunctions as first-class citizens, functional programming paradigm
File Handling in Python
beginner~18minReading/writing files, context managers, CSV, JSON handling
Object-Oriented Programming (OOP)
intermediate~28minClasses, objects, inheritance, polymorphism, encapsulation
NumPy for Data Science
intermediate~28minArrays, vectorized operations, broadcasting, linear algebra basics
Pandas for Data Analysis
intermediate~28minDataFrames, Series, groupby, merge, read_csv, describe
Matplotlib for Visualization
beginner~18minLine plots, bar charts, histograms, pie charts, subplots
Seaborn for Statistical Visualization
intermediate~28minKDE plots, pair plots, box plots, heatmaps
Plotly for Interactive Charts
intermediate~28minInteractive visualizations, hover effects, web-ready charts
Handling Imbalanced Datasets
intermediate~28minSMOTE, upsampling, downsampling, classification report, recall vs precision